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» Layered Object Models for Image Segmentation
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CVPR
2011
IEEE
14 years 1 months ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
IPMI
2003
Springer
15 years 2 months ago
Neighbor-Constrained Segmentation with 3D Deformable Models
A novel method for the segmentation of multiple objects from 3D medical images using inter-object constraints is presented. Our method is motivated by the observation that neighbor...
Jing Yang, Lawrence H. Staib, James S. Duncan
ICIAP
2001
Springer
15 years 9 months ago
Intermediate Representation in Model Based Recognition Using Straight Line and Ellipsoidal Arc Primitives
An intermediate representation suitable for the 2-D recognition of the 3-D objects, from a single intensity image is proposed. Determination of the intermediate representation fro...
Sergiu Nedevschi, Tiberiu Marita, Daniela Puiu
ICPR
2002
IEEE
15 years 10 months ago
Illumination Invariant Segmentation of Spatio-Temporal Images by Spatio-Temporal Markov Random Field Model
For many years, object tracking in images has suffered from the problems of occlusions and illumination effects. In order to resolve occlusion problems, we have been proposing the...
Shunsuke Kamijo, Katsushi Ikeuchi, Masao Sakauchi
ICIP
2002
IEEE
15 years 11 months ago
JPEG2000-matched MRC compression of compound documents
The Mixed Raster Content (MRC) ITU document compression standard (T.44) specifies a multilayer decomposition model for compound documents into two contone image layers and a binar...
Debargha Mukherjee, Christos Chrysafis, Amir Said